Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening-Reference-Cited by-同舟云学术

Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening

Published:2024-05-01 Issue:22 Volume:58 Page:9487-9499
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Wang Nan¹²^ORCID,Dong Gongqing¹²,Qiao Ruxia¹²,Yin Xiang¹²,Lin Sijie¹²^ORCID

Affiliation:

1. College of Environmental Science and Engineering, Biomedical Multidisciplinary Innovation Research Institute, Shanghai East Hospital, Tongji University, Shanghai 200092, People’s Republic of China

2. Key Laboratory of Yangtze River Water Environment, Ministry of Education; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, People’s Republic of China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Shanghai Pilot Program for Basic Research

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c00480

Reference75 articles.

1. Pollution and health: a progress update

2. Zebrafish: An In Vivo Model for Nano EHS Studies

3. Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae

4. The zebrafish reference genome sequence and its relationship to the human genome

5. Perfluorononanoic Acid Induces Neurotoxicity via Synaptogenesis Signaling in Zebrafish

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